Zobrazeno 1 - 10
of 17 737
pro vyhledávání: '"A. Søndergaard"'
Autor:
Eva A.M. Baerends, Astrid K. Hvidt, Joanne Reekie, Ole S. Søgaard, Nina B. Stærke, Dorthe Raben, Henrik Nielsen, Kristine T. Petersen, Maria R. Juhl, Isik S. Johansen, Susan O. Lindvig, Lone W. Madsen, Lothar Wiese, Lene S. Knudsen, Mette B. Iversen, Thomas Benfield, Kasper K. Iversen, Sidsel D. Andersen, Anna K. Juhl, Lisa L. Dietz, Signe R. Andreasen, Thea K. Fischer, Christian Erikstrup, Palle Valentiner-Branth, Jens Lundgren, Lars Østergaard, Martin Tolstrup, J. Lundgren, L. Østergaard, T. Benfield, L. Krohn-Dehli, D.K. Petersen, K. Fogh, E. Højmark, K.K. Iversen, P. Bek, V. Klastrup, F. Larsen, S.H. Rasmussen, M.H. Schleimann, S. Schieber, N.B. Stærke, A. Søndergaard, B. Tarp, M. Tousgaard, Y. Yehdego, J. Bodilsen, H. Nielsen, K.T. Petersen, M. Ruwald, R.K. Thisted, S.F. Caspersen, M. Iversen, L.S. Knudsen, J.L. Meyerhoff, L.G. Sander, L. Wiese, C. Abildgaard, I.K. Holden, N.E. Johansen, I.S. Johansen, L. Larsen, S.O. Lindvig, L.W. Madsen, A. Øvrehus, N.A. Kruse, H. Lomholdt, T.G. Krause, P. Valentiner-Branth, B. Søborg, T.K. Fischer, C. Erikstrup, S.R. Ostrowski, M. Tolstrup, O.S. Søgaard, D. Raben, E. Jylling, D. Hougaard, S.D. Andersen, K. Lykkegaard, S.R. Andreasen, E. Baerends, L.L. Dietz, A.K. Hvidt, A.K. Juhl, R. Olesen, K.K. Andersen, W. Bannister, C. Bjernved, T.W. Elsing, F.V. Esmann, M.A. Ghafari, E. Gravholdt, S.F. Jakobsen, M.L. Jakobsen, C.M. Jensen, T.Ø. Jensen, D. Kristensen, L.R. Kumar, C. Matthews, N. Normand, C. Olsson, J. Reekie, A. Traytel, T. Weide, A.M. Hvas, H. Støvring
Publikováno v:
iScience, Vol 26, Iss 9, Pp 107621- (2023)
Summary: SARS-CoV-2 Omicron quickly spread globally, also in regions with high vaccination coverage, emphasizing the importance of exploring the immunological requirements for protection against Omicron breakthrough infection.The test-negative matche
Externí odkaz:
https://doaj.org/article/ea485062804846ef9b467b59eb882465
Autor:
Olsen, Markus Ditlev Sjøgren, Ambsdorf, Jakob, Lin, Manxi, Taksøe-Vester, Caroline, Svendsen, Morten Bo Søndergaard, Christensen, Anders Nymark, Nielsen, Mads, Tolsgaard, Martin Grønnebæk, Feragen, Aasa, Pegios, Paraskevas
Congenital malformations of the brain are among the most common fetal abnormalities that impact fetal development. Previous anomaly detection methods on ultrasound images are based on supervised learning, rely on manual annotations, and risk missing
Externí odkaz:
http://arxiv.org/abs/2408.03654
Autor:
Wong, Chun Kit, Ngo, Mary, Lin, Manxi, Bashir, Zahra, Heen, Amihai, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin Grønnebæk, Christensen, Anders Nymark, Feragen, Aasa
Despite the rapid development of AI models in medical image analysis, their validation in real-world clinical settings remains limited. To address this, we introduce a generic framework designed for deploying image-based AI models in such settings. U
Externí odkaz:
http://arxiv.org/abs/2404.00032
Autor:
Pegios, Paraskevas, Lin, Manxi, Weng, Nina, Svendsen, Morten Bo Søndergaard, Bashir, Zahra, Bigdeli, Siavash, Christensen, Anders Nymark, Tolsgaard, Martin, Feragen, Aasa
Obstetric ultrasound image quality is crucial for accurate diagnosis and monitoring of fetal health. However, producing high-quality standard planes is difficult, influenced by the sonographer's expertise and factors like the maternal BMI or the fetu
Externí odkaz:
http://arxiv.org/abs/2403.08700
Autor:
Lin, Manxi, Weng, Nina, Mikolaj, Kamil, Bashir, Zahra, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin, Christensen, Anders Nymark, Feragen, Aasa
Shortcut learning is a phenomenon where machine learning models prioritize learning simple, potentially misleading cues from data that do not generalize well beyond the training set. While existing research primarily investigates this in the realm of
Externí odkaz:
http://arxiv.org/abs/2403.06748
Lasso-type estimators are routinely used to estimate high-dimensional time series models. The theoretical guarantees established for Lasso typically require the penalty level to be chosen in a suitable fashion often depending on unknown population qu
Externí odkaz:
http://arxiv.org/abs/2403.06657
Autor:
Lin, Manxi, Ambsdorf, Jakob, Sejer, Emilie Pi Fogtmann, Bashir, Zahra, Wong, Chun Kit, Pegios, Paraskevas, Raheli, Alberto, Svendsen, Morten Bo Søndergaard, Nielsen, Mads, Tolsgaard, Martin Grønnebæk, Christensen, Anders Nymark, Feragen, Aasa
We introduce the notion of semantic image quality for applications where image quality relies on semantic requirements. Working in fetal ultrasound, where ranking is challenging and annotations are noisy, we design a robust coarse-to-fine model that
Externí odkaz:
http://arxiv.org/abs/2402.08294
Digital dentistry has made significant advancements, yet numerous challenges remain. This paper introduces the FDI 16 dataset, an extensive collection of tooth meshes and point clouds. Additionally, we present a novel approach: Variational FoldingNet
Externí odkaz:
http://arxiv.org/abs/2307.10895
Autor:
Wong, Chun Kit, Lin, Manxi, Raheli, Alberto, Bashir, Zahra, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin Grønnebæk, Feragen, Aasa, Christensen, Anders Nymark
Publikováno v:
ASMUS 2023. Simplifying Medical Ultrasound pp 13-22. Lecture Notes in Computer Science, vol 14337
Examination of the umbilical artery with Doppler ultrasonography is performed to investigate blood supply to the fetus through the umbilical cord, which is vital for the monitoring of fetal health. Such examination involves several steps that must be
Externí odkaz:
http://arxiv.org/abs/2304.05463
Autor:
Mikolaj, Kamil, Lin, Manxi, Bashir, Zahra, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin, Nymark, Anders, Feragen, Aasa
Confounding information in the form of text or markings embedded in medical images can severely affect the training of diagnostic deep learning algorithms. However, data collected for clinical purposes often have such markings embedded in them. In de
Externí odkaz:
http://arxiv.org/abs/2303.13918